DocumentCode :
315925
Title :
A comparative study of fuzzy and conventional criteria in model-based predictive control
Author :
Kaymak, U. ; Sousa, J.M. ; Verbruggen, H.B.
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Volume :
2
fYear :
1997
fDate :
1-5 Jul 1997
Firstpage :
907
Abstract :
Fuzzy predictive control integrates conventional model-based predictive control with techniques from fuzzy multicriteria decision making, and translates the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the fuzzy set theory. This paper investigates the use of fuzzy decision making in predictive control and compares the results to those obtained from conventional model-based predictive control. Experiments on a nonminimum phase, unstable linear system and air conditioning system with nonlinear dynamics are studied. It is shown that the performance of the model-based predictive controller can be improved by the use of fuzzy goals and criteria with fuzzy decision-making techniques
Keywords :
air conditioning; fuzzy control; fuzzy set theory; linear systems; optimisation; predictive control; air conditioning system; fuzzy multicriteria decision making; fuzzy predictive control; fuzzy set theory; model-based predictive control; nonminimum systems; optimisation; unstable linear system; Automatic control; Decision making; Fuzzy control; Fuzzy set theory; Laboratories; Linear systems; Predictive control; Predictive models; Set theory; Strain control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
Type :
conf
DOI :
10.1109/FUZZY.1997.622830
Filename :
622830
Link To Document :
بازگشت